An On-Line Learning Method for Object-Locating Robots using Genetic Programming on Evolvable Hardware
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @InProceedings{seok:2000:arob,
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author = "Ho-Sik Seok and Kwang-Ju Lee and Byoung-Tak Zhang",
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title = "An On-Line Learning Method for Object-Locating Robots
using Genetic Programming on Evolvable Hardware",
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booktitle = "Proceedings of the Fifth International Symposium on
Artificial Life and Robotics",
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year = "2000",
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editor = "Masanori Sugisaka and Hiroshi Tanaka",
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volume = "1",
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pages = "321--324",
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address = "Oita, Japan",
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month = "26-28 " # jan,
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organisation = "International Society for Artificial Life and Robotics
(ISAROB)",
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keywords = "genetic algorithms, genetic programming, FPGA",
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URL = "http://bi.snu.ac.kr/Publications/Conferences/International/AROB00.ps",
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URL = "http://citeseer.ist.psu.edu/456254.html",
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size = "4 pages",
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abstract = "Evolvable hardware is a new concept of FPGA which has
a capability of dynamic reconfiguration during run
time. Due to its dynamic reconfiguration ability,
evolvable hardware can optimise itself through
learning. In this paper, we present a method for
learning robot controller on evolvable hardware. For
learning, we employ genetic programming. Typically,
genetic programming uses tree-structured
representation. However, tree structures are
inconvenient for crossover in hardware and tend to
consume much resource. Therefore, we use a linear
chromosomes to represent genetic trees on evolvable
hardware. The learning objective of the robot is to
locate a light source avoiding obstacles.",
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notes = "AROB-00",
- }
Genetic Programming entries for
Ho-Sik Seok
Kwang-Ju Lee
Byoung-Tak Zhang
Citations